Superior Title: Bernstorff , M , Vistisen , S T & Enevoldsen , K C 2024 , ' Natural language processing for electronic health records in anaesthesiology : an introduction to clinicians with recommendations and pitfalls ' , Journal of Clinical Monitoring and Computing , vol. 38 , pp. 241-245 . https://doi.org/10.1007/s10877-024-01128-3
Subject Terms: Large language model, Machine learning, Natural language processing, Prediction model, Surgical duration
Authors: Bernstorff, Martin, Hansen, Lasse, Enevoldsen, Kenneth, Damgaard, Jakob, Hæstrup, Frida, Perfalk, Erik, Danielsen, Andreas Aalkjær, Østergaard, Søren Dinesen
Superior Title: Bernstorff , M , Hansen , L , Enevoldsen , K , Damgaard , J , Hæstrup , F , Perfalk , E , Danielsen , A A & Østergaard , S D 2024 , ' Development and validation of a machine learning model for prediction of type 2 diabetes in patients with mental illness ' , Acta Psychiatrica Scandinavica . https://doi.org/10.1111/acps.13687
Subject Terms: diabetes mellitus, forecasting, machine learning, mental disorders
Authors: Amini, Heresh, Bergmann, Marie L., Taghavi Shahri, Seyed Mahmood, Tayebi, Shali, Cole-Hunter, Thomas, Kerckhoffs, Jules, Khan, Jibran, Meliefste, Kees, Lim, Youn Hee, Mortensen, Laust H., Hertel, Ole, Reeh, Rasmus, Gaarde Nielsen, Christian, Loft, Steffen, Vermeulen, Roel, Andersen, Zorana J., Schwartz, Joel
Superior Title: Amini , H , Bergmann , M L , Taghavi Shahri , S M , Tayebi , S , Cole-Hunter , T , Kerckhoffs , J , Khan , J , Meliefste , K , Lim , Y H , Mortensen , L H , Hertel , O , Reeh , R , Gaarde Nielsen , C , Loft , S , Vermeulen , R , Andersen , Z J & Schwartz , J 2024 , ' Harnessing AI to unmask Copenhagen's invisible air pollutants : A study on three ultrafine particle metrics ' , Environmental Pollution , vol. ....
Subject Terms: Average particle size (APS), Lung deposited surface area (LDSA), Machine learning (ML), Ultrafine particles (UFPs)
Authors: Khare, Smith K., Acharya, U. Rajendra
Superior Title: Khare , S K & Acharya , U R 2023 , ' An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals ' , Computers in Biology and Medicine , vol. 155 , 106676 . https://doi.org/10.1016/j.compbiomed.2023.106676
Subject Terms: Attention deficit hyperactivity disorder, Electroencephalography, Explainable machine learning, Interpretable machine learning, Variational mode decomposition
Availability:
https://doi.org/10.1016/j.compbiomed.2023.106676
https://pure.au.dk/portal/da/publications/an-explainable-and-interpretable-model-for-attention-deficit-hyperactivity-disorder-in-children-using-eeg-signals(548a3eeb-539a-4d49-a2da-599a1954fe6a).html
http://www.scopus.com/inward/record.url?scp=85148686206&partnerID=8YFLogxK
Authors: Khan, Jibran, Thysell, Erik, Backalarz, Claus, Finne, Per, Hertel, Ole, Jensen, Steen Solvang
Superior Title: Khan , J , Thysell , E , Backalarz , C , Finne , P , Hertel , O & Jensen , S S 2023 , ' Performance Evaluation of Nord2000, RTN-96 and CNOSSOS-EU against Noise Measurements in Central Jutland, Denmark ' , Acoustics , vol. 5 , no. 4 , pp. 1099-1122 . https://doi.org/10.3390/acoustics5040062
Subject Terms: CNOSSOS-EU, data fusion, health studies, implications, machine learning, measurements, model validation, Nord2000, RTN-96
Superior Title: Abkar , M , Zehtabiyan-Rezaie , N & Iosifidis , A 2023 , ' Reinforcement learning for wind-farm flow control: Current state and future actions ' , Theoretical and Applied Mechanics Letters , vol. 13 , no. 6 , 100475 . https://doi.org/10.1016/j.taml.2023.100475
Subject Terms: Machine learning, Power losses, Reinforcement learning, Turbine wakes, Wind-farm flow control
Superior Title: Jensen , R I T & Iosifidis , A 2023 , ' Fighting Money Laundering With Statistics and Machine Learning ' , IEEE Access , vol. 11 , pp. 8889-8903 . https://doi.org/10.1109/ACCESS.2023.3239549
Subject Terms: Anti-money laundering, know-your-client, literature review, machine learning
Authors: Raisi-Estabragh, Zahra, Martin-Isla, Carlos, Nissen, Louise, Szabo, Liliana, Campello, Victor M., Escalera, Sergio, Winther, Simon, Bøttcher, Morten, Lekadir, Karim, Petersen, Steffen E.
Superior Title: Raisi-Estabragh , Z , Martin-Isla , C , Nissen , L , Szabo , L , Campello , V M , Escalera , S , Winther , S , Bøttcher , M , Lekadir , K & Petersen , S E 2023 , ' Radiomics analysis enhances the diagnostic performance of CMR stress perfusion : a proof-of-concept study using the Dan-NICAD dataset ' , Frontiers in cardiovascular medicine , vol. 10 , 1141026 . https://doi.org/10.3389/fcvm.2023.1141026
Subject Terms: CMR (cardiovascular magnetic resonance), Dan-NICAD, machine learning (ML), radiomics, stress perfusion cardiac MRI
Relation: https://pure.au.dk/portal/da/publications/radiomics-analysis-enhances-the-diagnostic-performance-of-cmr-stress-perfusion(8694d173-eb75-4520-a2d5-87ec7e53453f).html
Authors: Bennedsen, Mikkel, Hillebrand, Eric, Jensen, Sebastian
Superior Title: Bennedsen , M , Hillebrand , E & Jensen , S 2023 , ' A neural network approach to the environmental Kuznets curve ' , Energy Economics , vol. 126 , 106985 . https://doi.org/10.1016/j.eneco.2023.106985
Subject Terms: Climate econometrics, Consumption-based carbon dioxide emissions, Environmental Kuznets curve, Machine learning, Neural networks, Panel data, Production-based carbon dioxide emissions
Relation: https://pure.au.dk/portal/da/publications/a-neural-network-approach-to-the-environmental-kuznets-curve(e7fbaa2b-5938-4a4c-a709-8f7c66314ecb).html
Availability:
https://doi.org/10.1016/j.eneco.2023.106985
https://pure.au.dk/portal/da/publications/a-neural-network-approach-to-the-environmental-kuznets-curve(e7fbaa2b-5938-4a4c-a709-8f7c66314ecb).html
Authors: Meno, Laura, Escuredo, Olga, Abuley, Isaac K., Seijo, M. Carmen
Superior Title: Meno , L , Escuredo , O , Abuley , I K & Seijo , M C 2023 , ' Predicting Daily Aerobiological Risk Level of Potato Late Blight Using C5.0 and Random Forest Algorithms under Field Conditions ' , Sensors , vol. 23 , no. 8 , 3818 . https://doi.org/10.3390/s23083818
Subject Terms: aerobiology, infection pressure, machine learning, Phytophthora infestans, Solanum tuberosumL, weather factors
Availability:
https://doi.org/10.3390/s23083818
https://pure.au.dk/portal/da/publications/predicting-daily-aerobiological-risk-level-of-potato-late-blight-using-c50-and-random-forest-algorithms-under-field-conditions(625f924b-4278-4548-822a-044097352e51).html
http://www.scopus.com/inward/record.url?scp=85153753754&partnerID=8YFLogxK
Authors: Luppi, Andrea I., Cabral, Joana, Cofre, Rodrigo, Mediano, Pedro A.M., Rosas, Fernando E., Qureshi, Abid Y., Kuceyeski, Amy, Tagliazucchi, Enzo, Raimondo, Federico, Deco, Gustavo, Shine, James M., Kringelbach, Morten L., Orio, Patricio, Ching, Shi Nung, Sanz Perl, Yonatan, Diringer, Michael N., Stevens, Robert D., Sitt, Jacobo Diego
Superior Title: Luppi , A I , Cabral , J , Cofre , R , Mediano , P A M , Rosas , F E , Qureshi , A Y , Kuceyeski , A , Tagliazucchi , E , Raimondo , F , Deco , G , Shine , J M , Kringelbach , M L , Orio , P , Ching , S N , Sanz Perl , Y , Diringer , M N , Stevens , R D & Sitt , J D 2023 , ' Computational modelling in disorders of consciousness : Closing the gap towards personalised models ....
Subject Terms: Biophysical models, Computational models, Disorders of consciousness, Generative models, Machine learning, Statistical models
Authors: Gebreyesus, Grum, Milkevych, Viktor, Lassen, Jan, Sahana, Goutam
Superior Title: Gebreyesus , G , Milkevych , V , Lassen , J & Sahana , G 2023 , ' Supervised learning techniques for dairy cattle body weight prediction from 3D digital images ' , Frontiers in Genetics , vol. 13 , 947176 . https://doi.org/10.3389/fgene.2022.947176
Subject Terms: 3D images, bodyweight, dairy cow, machine learning (ML), precision livestock farming (PLF)
Relation: https://pure.au.dk/portal/da/publications/supervised-learning-techniques-for-dairy-cattle-body-weight-prediction-from-3d-digital-images(211de3dd-fc85-498a-ac5f-c888213f03e9).html
Availability:
https://doi.org/10.3389/fgene.2022.947176
https://pure.au.dk/portal/da/publications/supervised-learning-techniques-for-dairy-cattle-body-weight-prediction-from-3d-digital-images(211de3dd-fc85-498a-ac5f-c888213f03e9).html
Authors: Riis Andersen, Michael, Kabel, Kristine, Bremholm, Jesper, Bundsgaard, Jeppe, Hansen, Lars Kai
Superior Title: Riis Andersen , M , Kabel , K , Bremholm , J , Bundsgaard , J & Hansen , L K 2023 , ' Automatic proficiency scoring for early-stage writing ' , Computers and Education: Artificial Intelligence , vol. 5 , 100168 . https://doi.org/10.1016/j.caeai.2023.100168
Subject Terms: Early-stage literacy, Machine learning, Natural language processing, Rasch models, Writing proficiency, Automatic scoring, Danish, Low-resource languages
File Description: application/pdf
Availability:
https://doi.org/10.1016/j.caeai.2023.100168
https://pure.au.dk/portal/en/publications/0c22b330-54b2-4842-868c-ae570f49c20d
https://pure.au.dk/ws/files/372608976/Automatic_proficiency_scoring_for_early-stage_writing_VoR.pdf
http://www.scopus.com/inward/record.url?scp=85173164760&partnerID=8YFLogxK
https://www.sciencedirect.com/science/article/pii/S2666920X23000474
Authors: Szołdra, Tomasz, Ciappina, Marcelo F., Werby, Nicholas, Bucksbaum, Philip H., Lewenstein, Maciej, Zakrzewski, Jakub, Maxwell, Andrew S.
Superior Title: Szołdra , T , Ciappina , M F , Werby , N , Bucksbaum , P H , Lewenstein , M , Zakrzewski , J & Maxwell , A S 2023 , ' Femtosecond pulse parameter estimation from photoelectron momenta using machine learning ' , New Journal of Physics , vol. 25 , no. 8 , 083039 . https://doi.org/10.1088/1367-2630/acee19
Subject Terms: convolutional neural networks, femtosecond pulse characterization, machine learning, strong-field ionization
Relation: https://pure.au.dk/portal/da/publications/femtosecond-pulse-parameter-estimation-from-photoelectron-momenta-using-machine-learning(042b0aad-cc5f-4760-8614-24027ef9c3b4).html
Availability:
https://doi.org/10.1088/1367-2630/acee19
https://pure.au.dk/portal/da/publications/femtosecond-pulse-parameter-estimation-from-photoelectron-momenta-using-machine-learning(042b0aad-cc5f-4760-8614-24027ef9c3b4).html
http://www.scopus.com/inward/record.url?scp=85169583073&partnerID=8YFLogxK
Authors: Gomes, Lucas Carvalho, Beucher, Amélie Marie, Møller, Anders Bjørn, Iversen, Bo V., Børgesen, Christen Duus, Adetsu, Diana Vigah, Sechu, Gasper Laurent, Heckrath, Goswin Johann, Koch, Julian, Adhikari, Kabindra, Knadel, Maria, Lamandé, Mathieu, Greve, Mette Balslev, Jensen, Niels H., Gutierrez, Sebastian, Balstrøm, Thomas, Koganti, Triven, Roell, Yannik, Peng, Yi, Greve, Mogens Humlekrog
Superior Title: Gomes , L C , Beucher , A M , Møller , A B , Iversen , B V , Børgesen , C D , Adetsu , D V , Sechu , G L , Heckrath , G J , Koch , J , Adhikari , K , Knadel , M , Lamandé , M , Greve , M B , Jensen , N H , Gutierrez , S , Balstrøm , T , Koganti , T , Roell , Y , Peng , Y & Greve , M H 2023 , ' Soil assessment in Denmark: Towards soil ....
Subject Terms: digital soil mapping, ecosystem services, machine learning, soil functions, soil security, soil threats, sustainable development goals
Availability:
https://doi.org/10.3389/fsoil.2023.1090145
https://pure.au.dk/portal/da/publications/soil-assessment-in-denmark-towards-soil-functional-mapping-and-beyond(ac1b9df8-55ff-4e4c-9cd8-8d5d15ced8e1).html
http://www.scopus.com/inward/record.url?scp=85168098646&partnerID=8YFLogxK
Authors: Thagaard, Jeppe, Broeckx, Glenn, Page, David B., Jahangir, Chowdhury Arif, Verbandt, Sara, Kos, Zuzana, Gupta, Rajarsi, Khiroya, Reena, Abduljabbar, Khalid, Acosta Haab, Gabriela, Acs, Balazs, Akturk, Guray, Almeida, Jonas S., Alvarado-Cabrero, Isabel, Amgad, Mohamed, Azmoudeh-Ardalan, Farid, Badve, Sunil, Baharun, Nurkhairul Bariyah, Balslev, Eva, Bellolio, Enrique R., Bheemaraju, Vydehi, Blenman, Kim R.M., Botinelly Mendonça Fujimoto, Luciana, Bouchmaa, Najat, Burgues, Octavio, Chardas, Alexandros, Chon U Cheang, Maggie, Ciompi, Francesco, Cooper, Lee A.D., Coosemans, An, Corredor, Germán, Dahl, Anders B., Dantas Portela, Flavio Luis, Deman, Frederik, Demaria, Sandra, Doré Hansen, Johan, Dudgeon, Sarah N., Ebstrup, Thomas, Elghazawy, Mahmoud, Fernandez-Martín, Claudio, Fox, Stephen B., Gallagher, William M., Giltnane, Jennifer M., Gnjatic, Sacha, Gonzalez-Ericsson, Paula I., Grigoriadis, Anita, Halama, Niels, Hanna, Matthew G., Harbhajanka, Aparna, Hart, Steven N., Hartman, Johan, Hauberg, Søren, Hewitt, Stephen, Hida, Akira I., Horlings, Hugo M., Husain, Zaheed, Hytopoulos, Evangelos, Irshad, Sheeba, Janssen, Emiel A.M., Kahila, Mohamed, Kataoka, Tatsuki R., Kawaguchi, Kosuke, Kharidehal, Durga, Khramtsov, Andrey I., Kiraz, Umay, Kirtani, Pawan, Kodach, Liudmila L., Korski, Konstanty, Kovács, Anikó, Laenkholm, Anne Vibeke, Lang-Schwarz, Corinna, Larsimont, Denis, Lennerz, Jochen K., Lerousseau, Marvin, Li, Xiaoxian, Ly, Amy, Madabhushi, Anant, Maley, Sai K., Manur Narasimhamurthy, Vidya, Marks, Douglas K., McDonald, Elizabeth S., Mehrotra, Ravi, Michiels, Stefan, Minhas, Fayyaz ul Amir Afsar, Mittal, Shachi, Moore, David A., Mushtaq, Shamim, Nighat, Hussain, Papathomas, Thomas, Penault-Llorca, Frederique, Perera, Rashindrie D., Pinard, Christopher J., Pinto-Cardenas, Juan Carlos, Pruneri, Giancarlo, Pusztai, Lajos, Rahman, Arman, Rajpoot, Nasir Mahmood, Rapoport, Bernardo Leon, Rau, Tilman T., Reis-Filho, Jorge S., Ribeiro, Joana M., Rimm, David, Roslind, Anne, Vincent-Salomon, Anne, Salto-Tellez, Manuel, Saltz, Joel, Sayed, Shahin, Scott, Ely, Siziopikou, Kalliopi P., Sotiriou, Christos, Stenzinger, Albrecht, Sughayer, Maher A., Sur, Daniel, Fineberg, Susan, Symmans, Fraser, Tanaka, Sunao, Taxter, Timothy, Tejpar, Sabine, Teuwen, Jonas, Thompson, E. Aubrey, Tramm, Trine, Tran, William T., van der Laak, Jeroen, van Diest, Paul J., Verghese, Gregory E., Viale, Giuseppe, Vieth, Michael, Wahab, Noorul, Walter, Thomas, Waumans, Yannick, Wen, Hannah Y., Yang, Wentao, Yuan, Yinyin, Zin, Reena Md, Adams, Sylvia, Bartlett, John, Loibl, Sibylle, Denkert, Carsten, Savas, Peter, Loi, Sherene, Salgado, Roberto, Specht Stovgaard, Elisabeth
Superior Title: Thagaard , J , Broeckx , G , Page , D B , Jahangir , C A , Verbandt , S , Kos , Z , Gupta , R , Khiroya , R , Abduljabbar , K , Acosta Haab , G , Acs , B , Akturk , G , Almeida , J S , Alvarado-Cabrero , I , Amgad , M , Azmoudeh-Ardalan , F , Badve , S , Baharun , N B , Balslev , E , Bellolio , E R , Bheemaraju , V , Blenman , K R M , Botinelly Mendonça Fujimoto ....
Subject Terms: deep learning, digital pathology, guidelines, image analysis, machine learning, pitfalls, prognostic biomarker, triple-negative breast cancer, tumor-infiltrating lymphocytes
Relation: https://pure.au.dk/portal/da/publications/pitfalls-in-machine-learningbased-assessment-of-tumorinfiltrating-lymphocytes-in-breast-cancer(35ef01d0-dde2-449d-b854-df251b5876a9).html
Availability:
https://doi.org/10.1002/path.6155
https://pure.au.dk/portal/da/publications/pitfalls-in-machine-learningbased-assessment-of-tumorinfiltrating-lymphocytes-in-breast-cancer(35ef01d0-dde2-449d-b854-df251b5876a9).html
http://www.scopus.com/inward/record.url?scp=85167995389&partnerID=8YFLogxK
Authors: Dahlander, Linus, Beretta, Michela, Thomas, Arne, Kazemi, Shahab, Fenger, Morten, Frederiksen, Lars
Superior Title: Dahlander , L , Beretta , M , Thomas , A , Kazemi , S , Fenger , M & Frederiksen , L 2023 , ' Weeding out or picking winners in open innovation? Factors driving multi-stage crowd selection on LEGO ideas ' , Research Policy , vol. 52 , no. 10 , 104875 . https://doi.org/10.1016/j.respol.2023.104875
Subject Terms: Abductive theorizing, Crowd selection, Crowdsourcing, Ideation, Machine learning, Social influence
Relation: https://pure.au.dk/portal/da/publications/weeding-out-or-picking-winners-in-open-innovation-factors-driving-multistage-crowd-selection-on-lego-ideas(00f62373-c52a-4381-94dd-fa513ecb96e5).html
Availability:
https://doi.org/10.1016/j.respol.2023.104875
https://pure.au.dk/portal/da/publications/weeding-out-or-picking-winners-in-open-innovation-factors-driving-multistage-crowd-selection-on-lego-ideas(00f62373-c52a-4381-94dd-fa513ecb96e5).html
https://www.sciencedirect.com/science/article/pii/S0048733323001592
Authors: Gomes, Lucas, Beucher, Amélie Marie, Møller, Anders Bjørn, Iversen, Bo Vangsø, Børgesen, Christen Duus, Adetsu, Diana Vigah, Sechu, Gasper Laurent, Heckrath, Goswin Johann, Koch, Julian, Adhikari, Kabindra, Knadel, Maria, Lamandé, Mathieu, Greve, Mette Balslev, Jensen, Niels Henrik, Gutierrez, Sebastian, Balstrøm, Thomas, Roell, Yannik Elo, Peng, Yi, Greve, Mogens Humlekrog
Superior Title: Gomes , L , Beucher , A M , Møller , A B , Iversen , B V , Børgesen , C D , Adetsu , D V , Sechu , G L , Heckrath , G J , Koch , J , Adhikari , K , Knadel , M , Lamandé , M , Greve , M B , Jensen , N H , Gutierrez , S , Balstrøm , T , Roell , Y E , Peng , Y & Greve , M H 2023 , ' Soil assessment in Denmark: Towards soil functional mapping and beyond ....
Subject Terms: digital soil mapping, ecosystem services, machine learning, soil functions, soil security, soil threats, sustainable development goals
Availability:
https://doi.org/10.3389/fsoil.2023.1090145
https://pure.au.dk/portal/da/publications/soil-assessment-in-denmark-towards-soil-functional-mapping-and-beyond(d98f4d72-d9bc-47c0-9943-68d528759663).html
Authors: Riis, Anders Hammerich, Kristensen, Pia Kjær, Lauritsen, Simon Meyer, Thiesson, Bo, Jørgensen, Marianne Johansson
Superior Title: Riis , A H , Kristensen , P K , Lauritsen , S M , Thiesson , B & Jørgensen , M J 2023 , ' Using Explainable Artificial Intelligence to Predict Potentially Preventable Hospitalizations : A Population-Based Cohort Study in Denmark ' , Medical Care , vol. 61 , no. 4 , pp. 226-236 . https://doi.org/10.1097/MLR.0000000000001830
Subject Terms: explainable artificial intelligence, machine learning, potentially preventable hospitalizations, prediction model
Availability:
https://doi.org/10.1097/MLR.0000000000001830
https://pure.au.dk/portal/da/publications/using-explainable-artificial-intelligence-to-predict-potentially-preventable-hospitalizations(b4e7ab71-bc4f-486d-ab4e-af6f25344054).html
http://www.scopus.com/inward/record.url?scp=85149619886&partnerID=8YFLogxK
Superior Title: Kjeldbjerg Lassen , J , Bradshaw , R , Villesen , P & Francese , S 2023 , ' Statistical Modelling Investigation of MALDI-MSI-Based Approaches for Document Examination ' , Molecules , vol. 28 , no. 13 , 5207 . https://doi.org/10.3390/molecules28135207
Subject Terms: documents, ink, machine learning, MALDI
Availability:
https://doi.org/10.3390/molecules28135207
https://pure.au.dk/portal/da/publications/statistical-modelling-investigation-of-maldimsibased-approaches-for-document-examination(308fb944-4bff-470d-a04a-91ccc232124d).html